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OpenPathology

OpenPathology aims to make an innovative new tool showing comparative data on pathology test requests made by GPs.

It aims to:

  1. Build infrastructure to securely import, store and analyse pathology datasets;
  2. Normalise the data;
  3. Create a website to appropriately display data on testing rates for each major test type;
  4. Create standard measures with clinicians;
  5. Deploy and iteratively improve throughout agile development cycles.

Visit openpathology.net >

Latest OpenPathology papers

  1. Optimising laboratory monitoring of chronic conditions in primary care

    This project set out to standardise the blood tests used for monitoring of chronic conditions in primary care across North Devon, and to measure and reduce the harms of unwarranted testing.

    Status: Published

    Categories

    • OpenPathology
  2. Practice variation in the use of tests in UK primary care

    A retrospective analysis of 16 million tests performed over 3.3 million patient years in 2015/16. We set out to identify tests ordered from UK primary care that are subject to the greatest between-practice variation in their use.

    Status: Published

    Categories

    • OpenPathology
  3. Temporal trends in use of tests in UK primary care, 2000-15

    Assessing the temporal change in test use in UK primary care and to identify tests with the greatest increase in use.

    Status: Published

    Categories

    • OpenPathology
  4. Variation in diagnostic test requests and outcomes: a preliminary metric for OpenPathology.net

    We explored C-reactive Protein (CRP) and Erythrocyte Sedimentation Rate (ESR) tests ordered across Oxfordshire NHS General Practices, and the proportion of tests that yielded an abnormal result, and identified practices that had a proportion of abnormal CRP and ESR results 3 standard deviations below the mean.

    Status: Published

    Categories

    • OpenPathology
View more OpenPathology papers →

Latest OpenPathology blog posts

  1. Posted
    Categories
    • Code

    OpenPathology

    This is the code related to our OpenPathology project. Specifically this repo stores ad-hoc analyses, papers, and related research. The code for the website (and online tool, when developed) are in their own repository.

  2. Posted
    Categories
    • Open Working

    Bennett Institute – What We Did Last Year!

    Most people share their end of year roundup during late December when everyone is too full of cake to read. Now you’re back in the saddle, here’s our roundup of everything the Bennett Institute threw out into the world over the previous 12 months! OpenPrescribing OpenPrescribing.net went from strength to strength, with over 135,000 unique users last year. We now have over 80 measures of prescribing safety, efficacy and cost-effectiveness and have been working on new types of measures and alerts to identify “outlier” prescribing, such as with zuclopenthixol.

  3. Posted
    Categories
    • OpenPathology

    OpenPathology: Issues with reference ranges — Part 3

    This is the third instalment in our series of commentaries on using reference ranges to interpret pathology test results. Reference ranges vary between labs Classically, the reference range is defined statistically: it is the interval within which 95% of the values of a healthy reference population fall into. Therefore 2.5% of the time, healthy people will have (for example) haemoglobin concentrations less than the lower limit, and 2.5% of the time it will be over the upper limit.

  4. Posted
    Categories
    • OpenPathology

    OpenPathology: Issues with reference ranges — Part 2

    This is the second installment in our series of commentaries on reference ranges used to interpret pathology test results. Here we describe two issues relating to how meaningful reference ranges are. Reference ranges are usually indicators of statistical outliers in a healthy reference population The most common type of reference range is defined as the interval between which 95% of the values of a healthy reference population fall into. In other words, 2.

View more OpenPathology blog posts →